Evidence map›Paper›PMID 27833076›Full record

ArticleOncotarget2016

miR-26a induced the suppression of tumor growth of cholangiocarcinoma via KRT19 approach.

Ping Wang, Long Lv

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  7. Article
  8. Article
  9. Review
  10. NcRNAs and Cholangiocarcinoma.Journal of Cancer · 2018
    Review
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Ping WangDepartment of Endocrinology, People's Hospital of Gaochun, Gaochun, Nanjing, 211300, Jiangsu Province, China.
Long LvDepartment of General Surgery, People's Hospital of Gaochun, Gaochun, Nanjing, 211300, Jiangsu Province, China.
Gaochun People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsKRT19 was identified as one of the key biomarkers for distinguishing cholangiocarcinoma (CCA) and hepatocellular carcinoma. The detailed role of miRNAs involved in the oncogenic incident of KRT19 was poor investigated.

resultsBased on prediction and validation, miR-26a was inversely correlated with KRT19 in patients' tissues samples and biopsies. Ectopic expression of miR-26a dramatically suppressed cell proliferation and tumor growth in vitro and in vivo. Knock-down miR-26a could induce an increasing population of SP cells by promoting KRT19 expression. The KRT19 was also suppressed via directly binding at 3'UTR region by miR-26a. MATERIALS AND

methodsBioinformatics prediction was first applied to screening the potential miRNA involved. RT-PCR, Immunohistochemistry and Western blot were used to examine the expression of miRNAs and candidate genes in 65 pairs of cholangiocarcinoma. The loss-and gain-function assay was employed to detect the role of certain miRNA in vitro and vivo. Side-population (SP) cells were detected and sorted by flow cytometry.

conclusionsAberrant decreased miR-26a could promote cell proliferation by regulating KRT19 which play important roles in the pathogenesis of CCA.

Indexed as

Cell Proliferation3' Untranslated RegionsAnimalsBile Duct NeoplasmsBinding SitesCell Line, TumorCholangiocarcinomaComputational BiologyDatabases, GeneticFemaleGene Expression Regulation, NeoplasticHumansKeratin-19MaleMice, Inbred BALB CMice, Nude3' Untranslated RegionsKeratin-19MicroRNAsMIRN26 microRNA, humancholangiocarcinomaKRT19miRNAproliferationstem cell

Identifiers

PMID27833076
PMCPMC5348398
OpenAlexW2552533397

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.